AI Engineer (Internal Agents & Automations)
Confirmed on the employer's own hiring board on Oct 8, 2026. First seen by Alion on Sep 24, 2026.
Join Haddock, a fast-growing company in the restaurant industry, as an AI Engineer focused on internal agents and automations. In this role, you will identify processes that can be automated, build the agents and own the software they live in, and maintain and improve our own AI frameworks. You will have the opportunity to make a significant impact on the company's operations and growth.
Missions
- Hunt for leverage by understanding the processes that consume the most hours across various departments and determine what is worth automating.
- Build and own the agents and the software they operate in, ensuring that all aspects of the agent's functionality are covered, from the AI layer to the surrounding infrastructure.
- Own the systems and integrations, including HubSpot, Zendesk, Slack, Notion, and others, and take responsibility for migrating or reconfiguring tools as needed.
Profil recherché
- You're analytical and quantitative: you measure before optimizing, but you never let analysis slow down shipping- You're truly AI-native: you follow new models, frameworks, and techniques, and you continuously refine how you use them in practice
- Fluent in Spanish and comfortable in English. Most of your stakeholders work in Spanish, so this one matters
- You think in systems, not tasks. When you watch someone do something by hand, your instinct is to ask what the process really is, and then whether it should exist at all
- You're also AI-native in how you build: you use modern AI-powered dev tools (Claude Code, Cursor, Codex or similar) and assemble your own agents and workflows to move faster
- You're comfortable with product engineering. TypeScript or Python, and you're comfortable with APIs, webhooks, jobs, queues, databases, and shipping a frontend when the workflow needs one. The prompt is often the smallest part of the problem, and you own the service around it rather than handing it to someone else to maintain
- 1+ years of hands-on experience building AI systems or automations that real people use every day
- You have business empathy. You can sit with a CX agent or a salesperson, understand their workflow, and turn it into a system. You enjoy talking to people, not only to a terminal
- AI observability platforms like langfuse (tracing, metrics, evals for LLM apps and agents)
- Having automated a real business process end to end, and having the numbers to prove what it saved
- RAG systems and vector databases
- Deep hands-on work with the APIs of HubSpot, Zendesk, Slack or Notion
- Designing or working with MCPs
- Building and orchestrating multi-agent systems
- Designing and running evaluations